Abstract
Although key components of the cerebellar circuitry relevant to classical conditioning have been identified, the question how they act together is still unresolved. In this simulation study, we investigate a real-time model which captures basic anatomical and physiological properties of this system. We show that this model displays realistic learning performance over a range of inter-stimulus intervals, and demonstrate its stability using a mobile robot solving an obstacle avoidance task.
| Original language | English |
|---|---|
| Pages (from-to) | 1019-1024 |
| Number of pages | 6 |
| Journal | Neurocomputing |
| Volume | 38-40 |
| DOIs | |
| State | Published - Jun 2001 |
Keywords
- Cerebellum
- Classical conditioning
- Learning
- Model
- Robot